How do I install the dependencies?
Run `pip install -r requirements.txt` inside a Python virtual environment. The required packages are `mcp` and `python-dotenv`.
@dazzaji
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-client-server-dazzaji": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Run the MCP Client is a Python client for testing a Model Context Protocol (MCP) filesystem server. It connects to a running server, lists available tools, and invokes them—defaulting to a write_file call that creates a test file. It is aimed at developers who want to verify their MCP server setup.
Create a virtual environment, install dependencies (mcp, python-dotenv), and set up a .env file with the server path and allowed directory. Run python client.py to execute the default tool (write_file). Optionally pass a specific tool and arguments via CLI flags --tool and --args.
.env or command‑line arguments.Run `pip install -r requirements.txt` inside a Python virtual environment. The required packages are `mcp` and `python-dotenv`.
Set the `TOOL` and `ARGS` environment variables in `.env`, or pass them as `--tool` and `--args` when running `python client.py`.
If no tool is specified, it calls `write_file` to create `test.txt` with the content “Hello from Python the new standup MCP client!” in the allowed directory.
Yes. The client expects an MCP filesystem server (e.g., the Node.js server from the referenced repository) to be started and listening on the path specified in `SERVER_PATH`.

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